Natural Language Processing (NLP) Jobs in Bangalore (Bengaluru)

Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).Responsibilities:- Develop REST/JSON API’s Design code for high scale/availability/resiliency.- Develop responsive web apps and integrate APIs using NodeJS.- Presenting Chat efficiency reports to higher Management- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Developing Conversational Flows in the chatbot- Calculating Chat efficiency reports.Good to Have:- Monitors performance and quality control plans to identify performance. - Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices. - Works with management to prioritize business and information needs.- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Identifies, analyzes, and interprets trends or patterns in complex data sets.- Ability to manage multiple assignments.- Understanding of ChatBot Architecture.- Experience of Chatbot training

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore   We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEORaman Kishore - CTO    We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Skills: Experience in predictive modelling and predictive software development Skilled in Java, C++, Perl/Python (or similar scripting language) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic optimisation (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Must Have: Experience: 3-9 years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Preferred experience with large data sets & distributed computing in Hadoop ecosystem Fluency with databases

Job Description The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches). Experiences in real- time collaboration is a plus. We're looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next. The ideal candidate has a strong mix of education and practical experience Responsibilities - Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers - Use NLP and ML techniques to bring order to unstructured data - Experience in extracting signal from noise in large unstructured datasets a plus - Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems - Work alongside an excellent, cross-functional team across Engineering, Product and Design Required Skills - Experience in applying machine learning techniques, Natural Language Processing or Computer Vision - Strong analytical and problem-solving skills - Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ - Problem solver - able to work independently, and be comfortable with deadlines and milestones - Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques - Strong communication skills and an easy going attitude - Proven ability to apply, debug, and develop machine learning models for real-world applications - Previous industry work experience required Preferred Skills - Familiarity with Git, MongoDB, RabbitMQ, Spark, NLTK, TensorFlow - Functional Programming - Experience with Natural Language Processing (NLP) - Experience building applications for the enterprise customer - Previous early-stage company experience is a plus

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.   You will be responsible for: Developing audio algorithms to detect key moments within popular online games, such as: Streamer speaking, shouting, etc. Gunfire, explosions, and other in-game audio events Speech-to-text and sentiment analysis of the streamer’s narration Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them Building neural network architectures for audio analysis as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing Experience using Python, TensorFlow and other AI tools Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others Nice to have: some familiarity with AI-based audio analysis including sentiment analysis Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

About us DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.Data Science@DataWeaveWe the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.How we work?It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!What do we offer?- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!- Ability to see the impact of your work and the value you're adding to our customers almost immediately.- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.- Last but not the least, competitive salary packages and fast paced growth opportunities.Who are we looking for?The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities. We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred). Key problem areas- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.- Ensemble approaches for all the above problems using multiple text and image based techniques.Relevant set of skills- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.- Use the command line like a pro. Be proficient in Git and other essential software development tools.- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.Role and responsibilities- Understand the business problems we are solving. Build data science capability that align with our product strategy.- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.- Build robust clustering and classification models in an iterative manner that can be used in production.- Constantly think scale, think automation. Measure everything. Optimize proactively.- Take end to end ownership of the projects you are working on. Work with minimal supervision.- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

We at  niki.ai are currently looking for a NLP Engineer to join our team. We would love to tell you a little more about the position and learn a few things about you. Below is the job description for the Natural Language Processing Engineer Role for your reference.  Job DescriptionNiki is an artificially intelligent ordering application (niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team.The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere.Major responsibilities would be:1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models3. Work closely with product teams to implement algorithms that power user and developer-facing productsWe work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are:1. Graduate/Post-Graduate/M.S./Ph.D in Computer Science/Mathematics/Machine Learning/NLP or allied fields.2. Industry experience of min 5 years.3. Strong background in Natural Language Processing and Machine Learning4. Have some experience in leading a team big or small.5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plusCompetitive Compensation.What We're BuildingWe are building an automated messaging platform to simplify ordering experience for consumers. We have launched the Android App: niki.ai/app . In the current avatar, Niki can process mobile phone recharge and book cabs for the consumers. It assists in finding the right recharge plans across topup, 2g, 3g and makes the transaction. In cab booking, it helps in end to end booking along with tracking and cancellation within the App. You may also compare to get the nearest or the cheapest cab among available ones.Being an instant messaging App, it works seamlessly on 2G / 3G / Wifi and is light weight around 3.6 MB. You may check out using: niki.ai app

We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.

BS/Masters in Computer Science with 4+ years of experience. Excellent knowledge in algorithms and data structures and implementing them in Java. Experience in distributed systems architectures, including multithreading & concurrency issues. Experience working in Agile/Scrum environment is desired. Exceptional debugging, testing, and problem-solving skills. Self-starter, with quick learning curve. Strong written and verbal communication skills and an ability and interest to mentor other junior engineers. Working experience within product development teams is a must. Must have demonstrated capabilities to create patentable ideas. Working experience in Natural Language Processing (NLP)/Natural Language Understanding (NLU) based solutions is a plus.

Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years

We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.

About Artivatic : Artivatic is a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access, and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently & seamlessly.  - Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, healthcare, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more.   Job description We at artivatic are seeking for passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. The ideal candidate will have research/implementation experience in modeling and developing NLP tools and have experience working with machine learning/deep learning algorithms. Roles and responsibilities Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing. Developing NLP based tools and solutions end to end. Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.Be responsible for measuring and optimizing the quality of your algorithms Requirements Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc Good understanding of Rule-based, Statistical and probabilistic NLP techniques. Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc. Good understanding of Machine learning and Deep learning algorithms. Good knowledge of Data Structures and Algorithms. Strong programming skills in Python/Java/Scala/C/C++. Strong problem solving and logical skills. A go-getter kind of attitude with the willingness to learn new technologies. Well versed in software design paradigms and good development practices. Basic Qualifications Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language - Processing, Machine Learning or Deep Learning. Publication record in conferences/journals is a plus. 2+ years of working/research experience building NLP based solutions is preferred. If you feel that you are the ideal candidate & can bring a lot of values to our culture & company's vision, then please do apply. If your profile matches as per our requirements, you will hear from one of our team members. We are looking for someone who can be part of our Team not Employee. Job Perks Insurance, Travel compensation & others

Hi, looking for a Part-time trainer for Data Science,Hadoop etc at our New Marathahalli Brach, Bangalore. Experience: 1. Good domain knowledge on data science with min 3-4 yrs 2. Good knowledge on Hadoop, Statistics, R Programming,SQL,Python,Machine Learning,Deep Learning,NLP, Tensorflow etc 3. Able to take CLASSROOM or ONLINE Daily/weekend classes at Marathahalli Branch, Bangalore. 4. Need to handle 2-3 Batches per month (Incl Online & Classroom) A chance to earn around 50,000 to 2,00,000 permonth by working as a part-timer for us. Thanks

About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.

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3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.